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» Robust principal component analysis
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ICPR
2002
IEEE
14 years 8 months ago
Unsupervised Robust Clustering for Image Database Categorization
Content-based image retrieval can be dramatically improved by providing a good initial database overview to the user. To address this issue, we present in this paper the Adaptive ...
Bertrand Le Saux, Nozha Boujemaa
ICCV
1999
IEEE
13 years 12 months ago
Principal Manifolds and Bayesian Subspaces for Visual Recognition
We investigate the use of linear and nonlinear principal manifolds for learning low-dimensional representations for visual recognition. Three techniques: Principal Component Analy...
Baback Moghaddam
CORR
2008
Springer
77views Education» more  CORR 2008»
13 years 7 months ago
Principal Graphs and Manifolds
In many physical statistical, biological and other investigations it is desirable to approximate a system of points by objects of lower dimension and/or complexity. For this purpo...
Alexander N. Gorban, Andrei Yu. Zinovyev
ISNN
2009
Springer
14 years 2 months ago
Nonlinear Component Analysis for Large-Scale Data Set Using Fixed-Point Algorithm
Abstract. Nonlinear component analysis is a popular nonlinear feature extraction method. It generally uses eigen-decomposition technique to extract the principal components. But th...
Weiya Shi, Yue-Fei Guo
ICB
2007
Springer
188views Biometrics» more  ICB 2007»
13 years 9 months ago
Color Face Tensor Factorization and Slicing for Illumination-Robust Recognition
In this paper we present a face recognition method based on multiway analysis of color face images, which is robust to varying illumination conditions. Illumination changes cause l...
Yong-Deok Kim, Seungjin Choi